Results 81 to 90 of about 110,813 (305)
Biolipid Film‐Fused Electrochemiluminescence for Multipurpose In Situ Bioassays
Advanced Science, EarlyView.An ECL‐emissive, membrane‐interactive scaffold was fabricated, and facilely fused with natural and non‐native phospholipids into multifactorial mimicries of cytomembranes and vesicles for in vitro representative membrane‐process probing. Such a biointerface‐based, state‐sensitive ECL paradigm not only pinpointed proximal phenomena, including channeling
Jialiang Chen +9 more
wiley +1 more source
The truncated non-central negative binomial distribution / Phang Yook Ngor [PDF]
, 2004 Zero truncated distribution arises when the zero class cannot be determined. Several approaches have been used in estimating the parameters of truncated negative binomial and truncated Poisson distribution.
Phang, Yook Ngor
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Temporal Interference Stimulation Enhances Neural Regeneration
Advanced Science, EarlyView.Temporal interference (TI) stimulation is proposed as a non‐invasive approach to enhance neural regeneration in the deep brain. Theta‐band TI modulation selectively promotes neural progenitor cell differentiation in vitro and augments hippocampal neurogenesis in amouse model of Alzheimer's disease‐like amyloidosis.
Sofia Peressotti +15 more
wiley +1 more source
Applying Negative Binomial Distribution in Diagnostic Classification Models for Analyzing Count Data. [PDF]
Appl Psychol Meas, 2023 Liu R, Heo I, Liu H, Shi D, Jiang Z.
europepmc +1 more source
Weighted Negative Binomial Poisson-Lindley Distribution with Actuarial Applications
, 2018 This study introduces a new discrete distribution which is a weighted version of Poisson-Lindley distribution. The weighted distribution is obtained using the negative binomial weight function and can be fitted to count data with over-dispersion. The p.m.
Noriszura Ismail +2 more
core +1 more source
Over-dispersion parameters estimation of the Negative Binomial distribution (6).
, 2022 Over-dispersion parameters estimation of the Negative Binomial distribution (6).
Kernel Prieto (11985581) +2 more
core +1 more source
On bivariate generalized binomial and negative binomial distributions
Metrika, 1981 The present paper deals with two types of generalized general binomial (binomial or negative binomial) distributions: (i) a univariate general binomial generalized by a bivariate distribution and (ii) a bivariate general binomial generalized by two independent univariate distributions.
Charalambides, Ch.A., Papageorgiou, H.
openaire +3 more sources
Advanced Science, EarlyView.SpaMode introduces a versatile framework for spatial multi‐omics integration across vertical, horizontal, and mosaic scenarios. By disentangling modality‐invariant and variant features through a mixture‐of‐experts mechanism, it adaptively reconfigures spatially heterogeneous signals.
Xubin Zheng +6 more
wiley +1 more source
Weighted negative binomial-Poisson Lindley with application to genetic data
Journal of Biostatistics and Epidemiology, 2018 Background & Aim: Mixed Poisson and mixed negative binomial distributions have been considered as alternatives for fitting count data with over-dispersion.
Hossein Zamani +2 more
doaj
A Comparison of Methods for Forecasting Demand for Slow Moving Car Parts [PDF]
This paper has a focus on non-stationary time series formed from small non-negative integer values which may contain many zeros and may be over-dispersed.
Ralph D. Snyder, Adrian Beaumont
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